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Competition to train a Large Language Model for Harmony on DOXA AI

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Competition to train a Large Language Model for Harmony on DOXA AI

Harmony on DOXA AI: Train your own Large Language Model and win up to £500 in vouchers!

Join a competition to train a Large Language Model for mental health data. You don’t need to have trained a Large Language Model before.

Register on DOXA AI

Enter the competition on DOXA AI by fine tuning your own large language model and improve Harmony!

Join our Discord

Join the Harmony Discord server. Check out the 🏅「matching-challenge」 channel!

We would like to improve Harmony’s matching algorithm. Sometimes, Harmony mistakenly thinks that sentences are similar when a psychologist would consider them dissimilar, or vice versa. We have evaluated Harmony’s performance in this blog post.

Harmony vs Human

Harmony is sometimes misaligned with human evaluators

We would like to improve Harmony with a fine tuned large language model. We have teamed up with DOXA AI and made an online competition where you can improve on the off-the-shelf LLMs which we are currently using. You can win up to £500 in vouchers! Click here to join the Harmony matching competition on DOXA AI.

Register on DOXA AI

Enter the competition on DOXA AI by fine tuning your own large language model and improve Harmony!

Join our Discord

Join the Harmony Discord server. Check out the 🏅「matching-challenge」 channel!

Webinar recording

We had a livestreamed webinar/onboarding session to launch the competion on Wednesday 30 October at 5pm UK time.

What about data?

We have gathered training data for you to use to fine tune your model, and there is unseen validation data which we will use to score the model.

More information is available on the DOXA AI page.

How can I get started?

First, create an account on DOXA AI and enroll in the competition and download the code examples and training data.

Hugging Face has an excellent guide to fine tuning a large language model. We recommend using Hugging Face because we’ve already designed Harmony around the Hugging Face Python library, and it’s the best known framework for running LLMs in Python.

Prizes

The prize for the winner of the competition is £500 in vouchers and the runner up will get £250 in vouchers.

More information about how Harmony’s matching compares to human evaluators

The Harmony team has recently published a paper in BMC Psychiatry showing that there is a correlation between Harmony’s cosine similarity values and human evaluators, but this could be improved:

Register on DOXA AI

Enter the competition on DOXA AI by fine tuning your own large language model and improve Harmony!

Join our Discord

Join the Harmony Discord server. Check out the 🏅「matching-challenge」 channel!

Tutorial on fine tuning your own LLM. Download the notebook used in this tutorial

See other events

Register on DOXA AI

Enter the competition on DOXA AI by fine tuning your own large language model and improve Harmony!

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Improve Harmony's PDF parsing on DOXA AI

Train your own Large Language Model to parse PDFs and win up to £1000 in vouchers! Join a competition to train a machine learning model to improve Harmony’s PDF parsing. You don’t need to have trained a machine learning model before. Register on DOXA AI Enter the competition on DOXA AI by fine tuning your own model and improve Harmony! Join our Discord Join the Harmony Discord server. Check out the 🏅「matching-challenge」 channel!

Harmony at GenAI and LLMs night at Google London

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Harmony at GenAI and LLMs night at Google London on 10 December 2024 Above: video of the AICamp meetup in London on 10 December 2024. Harmony starts at 40:00 - the first talk is by Connor Leahy of Conjecture We have presented the AI tool Harmony at the GenAI and LLMs night at Google London on 10th December organised by AI Camp at Google Cloud Startup Hub. AI Camp and Google hosted two deep dive tech talks on AI, GenAI, LLMs and machine learning, with food/drink, networking with speakers and fellow developers.

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